A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to papists in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
papists (0) - 2 freq
papist (1) - 3 freq
pasts (2) - 4 freq
paints (2) - 2 freq
gaists (2) - 1 freq
baists (2) - 22 freq
preists (2) - 3 freq
pairts (2) - 230 freq
papish (2) - 1 freq
waists (2) - 3 freq
paist (2) - 1 freq
racists (2) - 6 freq
paisty (2) - 1 freq
laists (2) - 1 freq
purists (2) - 5 freq
rapids (3) - 1 freq
points (3) - 79 freq
wrists (3) - 10 freq
faiss (3) - 7 freq
airts (3) - 356 freq
gapit (3) - 1 freq
playlists (3) - 1 freq
pairt (3) - 933 freq
waits (3) - 27 freq
piss (3) - 72 freq
papists (0) - 2 freq
papist (2) - 3 freq
purists (3) - 5 freq
preists (3) - 3 freq
pasts (3) - 4 freq
pastas (4) - 1 freq
poasts (4) - 1 freq
pests (4) - 2 freq
poopits (4) - 1 freq
posts (4) - 45 freq
poppets (4) - 1 freq
puppets (4) - 2 freq
pastes (4) - 1 freq
priests (4) - 25 freq
anapests (4) - 1 freq
paist (4) - 1 freq
gaists (4) - 1 freq
baists (4) - 22 freq
waists (4) - 3 freq
papish (4) - 1 freq
pairts (4) - 230 freq
paints (4) - 2 freq
racists (4) - 6 freq
paisty (4) - 1 freq
laists (4) - 1 freq
SoundEx code - P123
poe-faced - 3 freq
puppy-sit - 2 freq
papist - 3 freq
papists - 2 freq
poppyscotland - 3 freq
pipistrelle - 1 freq
MetaPhone code - PPSTS
papists - 2 freq
PAPISTS
Time to execute Levenshtein function - 0.218248 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.368752 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.030461 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.038057 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.000937 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.